Dr. Iris Kemmler

Associate Professor

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Biography

Iris Kemmler is an Associate General Counsel and Director of Legal & Compliance at Daimler Truck AG, specializing in regulatory and litigation matters. She has held various legal positions at Daimler AG, including as Legal Counsel focusing on Public Law and Legal Regulatory Compliance. Kemmler's academic career includes serving as a visiting professor at the University of Konstanz, as well as other teaching appointments at German universities. Her research and publications predominantly cover areas of public law, including constitutional law, administrative law, and social law. She has authored multiple monographs and contributed to numerous legal journals and compilations. Kemmler is recognized for her significant contributions to Federalism Studies and has been involved in various legal societies and research forums. She is also noted for her role in academia, mentoring students and fostering discussions on legal education in Germany. Kemmer completed her LL.M. at the London School of Economics and has been engaged in scholarly activities related to public law and compliance since 1998. Her involvement in various legal associations reflects her commitment to advancing legal scholarship and practice.

Research Interests

Experience

Associate General Counsel

2021-01-01 — Present

Daimler Truck AG • Tübingen, Germany

Leading legal strategies and compliance for Daimler Truck AG.

Legal Counsel

2016-01-01 — 2021-12-31

Daimler AG • Stuttgart, Germany

Focused on public law and regulatory compliance.

Visiting Lecturer

2016-04-01 — 2016-09-30

University of Konstanz • Konstanz, Germany

Taught courses on public law and administrative law.

Awards

#

Reinhold-und-Maria-Teufel-Stiftung Prize

2000-01-01

Requirements for University of Tübingen

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Overall
Required:6.5
TOEFL
Total
Required:79
GRE General
Prerequisites
Bachelor's degree in Computer Science or equivalent Strong background in mathematics and coding
Application Checklist
  • Transcript of records
  • Degree certificate
  • CV
  • Proof of English proficiency
  • GRE scores (optional for non-EU)
Specialization Notes

Focus on Autonomous Vision, Machine Learning, and Computer Vision.